Data
Masters-Degrees--Programs-(mastersportal.eu)

Masters-Degrees--Programs-(mastersportal.eu)

active ARFF CC0: Public Domain Visibility: public Uploaded 24-03-2022 by Dustin Carrion
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  • Computer Systems Machine Learning
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Context I was searching for a master degree program in data-science when I found this awesome website mastersportal, So I just scrapped it to take my time analysing all master programs available around the world. Content This dataset contains 60442 different master's degree programs from 99 countries around the world. Scrapping code https://github.com/AnasFullStack/Masters-Portal-Scrapper

23 features

country_namestring94 unique values
0 missing
country_codestring94 unique values
0 missing
university_namestring2273 unique values
0 missing
university_ranknumeric147 unique values
25524 missing
program_namestring25352 unique values
0 missing
program_typestring502 unique values
0 missing
deadlinestring355 unique values
31206 missing
durationstring80 unique values
8769 missing
languagestring75 unique values
21 missing
tution_1_currencystring6 unique values
6652 missing
tution_1_moneynumeric5938 unique values
6652 missing
tution_1_typestring4 unique values
6652 missing
tution_2_currencystring6 unique values
12339 missing
tution_2_moneynumeric4937 unique values
12339 missing
tution_2_typestring3 unique values
12339 missing
tuition_price_specificationstring8 unique values
6649 missing
start_datestring319 unique values
21332 missing
ielts_scorenumeric12 unique values
13068 missing
structurestring45234 unique values
9902 missing
academic_reqstring41276 unique values
778 missing
factsstring23003 unique values
22 missing
citystring1464 unique values
4350 missing
program_urlstring56745 unique values
0 missing

19 properties

60425
Number of instances (rows) of the dataset.
23
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
178594
Number of missing values in the dataset.
51230
Number of instances with at least one value missing.
4
Number of numeric attributes.
0
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
17.39
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
84.78
Percentage of instances having missing values.
Average class difference between consecutive instances.
12.85
Percentage of missing values.

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